---
title: "Proposal Measures"
output:
flexdashboard::flex_dashboard:
orientation: columns
social: menu
source_code: embed
vertical_layout: scroll
theme: spacelab
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(rio)
library(here)
library(colorblindr)
library(gghighlight)
library(forcats)
library(ggrepel)
library(gt)
library(knitr)
library(kableExtra)
library(reactable)
library(plotly)
opts_chunk$set(echo = FALSE,
fig.width = 5,
fig.height = 6)
theme_set(theme_minimal(base_size = 8))
p1 <- import(here("data", "p1_rm.xlsx"),
setclass = "tbl_df")
p2 <- import(here("data", "p2_rm.xlsx"),
setclass = "tbl_df")
p3 <- import(here("data", "p3_rm.xlsx"),
setclass = "tbl_df")
p4 <- import(here("data", "p4_rm.xlsx"),
setclass = "tbl_df")
brief <- import(here("data", "brief_proposal.xlsx"),
setclass = "tbl_df")
class_worse <- import(here("data", "class_worse_proposal.xlsx"),
setclass = "tbl_df")
class_stress <- import(here("data", "class_stress_proposal.xlsx"),
setclass = "tbl_df")
pcss <- import(here("data", "pcss_proposal.xlsx"),
setclass = "tbl_df")
hit <- import(here("data", "hit_proposal.xlsx"),
setclass = "tbl_df")
```
# Experimental Phase Repeated Measures
Column {.tabset data-width=500}
-----------------------------------------------------------------------
### Participant 1 Frequency
```{r p1 frequency, include=FALSE}
head(p1)
p1_freq <- p1 %>%
select(session, use)
p1_freq_plot <- ggplot(p1_freq, aes(session, use)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(6, 13),
breaks = c(6, 7, 8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Number of Days Reported Using Strategy",
title = "Weekly Use of Metacognitive Strategy \nto Improve School Attendance")
p1_freq_plot
```
```{r p1 frequency plot, include=TRUE}
p1_freq_plot
```
### Participant 2 Frequency
```{r p2 frequency, include=FALSE}
head(p2)
p2_freq <- p2 %>%
select(session, use)
p2_freq_plot <- ggplot(p2_freq, aes(session, use)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(7, 13),
breaks = c(7, 8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Number of Days Per Week",
title = "Weekly Use of External Aid\n to Track Assignments and Due Dates")
p2_freq_plot
```
```{r p2 frequency plot, include=TRUE}
p2_freq_plot
```
### Participant 3 Frequency
```{r p3 frequency, include=FALSE}
head(p3)
p3_freq <- p3 %>%
select(session, use)
p3_freq_plot <- ggplot(p3_freq, aes(session, use)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(8, 13),
breaks = c(8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 10),
breaks = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Number of Times Per Week Strategy was Used in Class",
title = "Weekly Use of Attention Strategy\n to Remain Focused in Biology Class")
p3_freq_plot
```
```{r p3 frequency plot, include=TRUE}
p3_freq_plot
```
### Participant 4 Effort
```{r p4 effort, include=FALSE}
head(p4)
p4_effort <- p4 %>%
select(session, effort)
p4_effort_plot <- ggplot(p4_effort, aes(session, effort)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(9, 13),
breaks = c(9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Perceived Effort",
title = "Perceived Effort While Reading",
caption = "1 = No Effort\n 2 = A little Effort\n 3 = Somewhat Effortful\n 4 = Quite Effortful\n 5 = Extremely Effortful")
p4_effort_plot
```
```{r p4 effort plot, include=TRUE}
p4_effort_plot
```
Column {.tabset data-width=500}
-----------------------------------------------------------------------
### Participant 1 Helpfulness
```{r p1 helpfulness, include=FALSE}
p1_help <- p1 %>%
select(session, help)
p1_help_plot <- ggplot(p1_help, aes(session, help)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(6, 13),
breaks = c(6, 7, 8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Perceived Helpfulness",
title = "Perceived Helpfulness\n of Metacognitive Strategy",
caption = "1 = Not Helpful at All\n 2 = Not Helpful\n 3 = Somewhat Helpful\n 4 = Helpful\n 5 = Very Helpful")
p1_help_plot
```
```{r p1 helpfulness plot, include=TRUE}
p1_help_plot
```
### Participant 2 Helpfulness
```{r p2 helpfulness, include=FALSE}
p2_help <- p2 %>%
select(session, help)
p2_help_plot <- ggplot(p2_help, aes(session, help)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(7, 13),
breaks = c(7, 8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Perceived Helpfulness",
title = "Perceived Helpfulness of External Aid",
caption = "1 = Not Helpful at All\n 2 = Not Helpful\n 3 = Somewhat Helpful\n 4 = Helpful\n 5 = Very Helpful")
p2_help_plot
```
```{r p2 helpfulness plot, include=TRUE}
p2_help_plot
```
### Participant 3 Helpfulness
```{r p3 helpfulness, include=FALSE}
p3_help <- p3 %>%
select(session, help)
p3_help_plot <- ggplot(p3_help, aes(session, help)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(8, 13),
breaks = c(8, 9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Perceived Helpfulness",
title = "Perceived Helpfulness of Attention Strategy",
caption = "1 = Not Helpful at All\n 2 = Not Helpful\n 3 = Somewhat Helpful\n 4 = Helpful\n 5 = Very Helpful")
p3_help_plot
```
```{r p3 helpfulness plot, include=TRUE}
p3_help_plot
```
### Participant 4 Helpfulness
```{r p4 helpfulness, include=FALSE}
p4_help <- p4 %>%
select(session, help)
p4_help_plot <- ggplot(p4_help, aes(session, help)) +
geom_line() +
geom_point(size = 2) +
scale_x_continuous(limits = c(9, 13),
breaks = c(9, 10, 11, 12, 13)) +
scale_y_continuous(limits = c(0, 5),
breaks = c(1, 2, 3, 4, 5)) +
theme_classic() +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10)) +
labs(x = "Session",
y = "Perceived Helpfulness",
title = "Perceived Helpfulness of Reading Strategies",
caption = "1 = Not Helpful at All\n 2 = Not Helpful\n 3 = Somewhat Helpful\n 4 = Helpful\n 5 = Very Helpful")
p4_help_plot
```
```{r p4 helpfulness plot, include=TRUE}
p4_help_plot
```
# Pre-Post Outcome Measures
Column {.tabset data-width=1000}
-----------------------------------------------------------------------
### BRIEF
```{r brief, include=FALSE}
head(brief)
brief_x <- c("Plan-Organize Post-Parent",
"Plan-Organize Pre-Parent",
"CRI Post-Self",
"CRI Pre-Self",
"Task Completion Post-Self",
"Task Completion Pre-Self",
"Working Memory Post-Self",
"Working Memory Pre-Self")
brief_plot <- ggplot(brief, aes(measure, score)) +
geom_hline(yintercept = 65,
linetype = "dashed",
size = 1) +
geom_col(fill = "blue",
alpha = 0.7) +
coord_flip() +
scale_x_discrete(limits = brief_x) +
scale_y_continuous(limits = c(0, 100),
breaks = c(10, 20, 30, 40, 50, 60, 70, 80, 90, 100)) +
geom_text(aes(measure, score, label = score),
nudge_y = -6,
color = "white") +
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.x = element_line(color = "gray80")) +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
plot.subtitle = element_text(color = "black", size = 5, face = "bold"),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10),
plot.caption = element_text(size = 10)) +
labs(x = "",
y = "T-score",
title = "BRIEF Scores",
subtitle = "Self-Report Working Memory & Task Completion Scales\nSelf-Report CRI\nParent-Report Plan-Organize Scale",
caption = "T-scores Above 65 are Clinically Significant")
brief_plot
```
```{r brief plot, include=TRUE}
brief_plot
```
### CLASS 1
```{r class tidy, include=FALSE}
head(class_worse)
head(class_stress)
class_worse_tidy <- class_worse %>%
pivot_longer(
cols = c(`Pre-Test`, `Post-Test`),
names_to = "Assessment",
values_to = "Response"
)
class_1 <- c("Easily bothered by lights/screens or noise",
"Tiring easily during homework",
"Tiring easily during the school day",
"Headaches interfering with homework",
"Headaches interfering with classwork",
"Easily distracted during homework",
"Easily distracted during classwork",
"Trouble reading",
"Trouble remembering what was studied",
"Difficulty studying for tests or quizzes",
"Homework taking longer",
"In class, work taking longer",
"Difficulty understanding new material",
"Difficulty taking notes")
class_1_resp <- c("A lot worse",
"Somewhat worse",
"A little worse",
"Not worse")
class_worse_tidy$Assessment <- factor(class_worse_tidy$Assessment, levels = c("Pre-Test", "Post-Test"))
class_worse_plot <- ggplot(class_worse_tidy, aes(`Question`, `Response`)) +
geom_line(aes(group = `Question`), color = "gray40") +
geom_point(aes(color = `Assessment`)) +
coord_flip() +
scale_x_discrete(limits = class_1) +
scale_y_discrete(limits = class_1_resp) +
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.x = element_line(color = "gray80")) +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
plot.subtitle = element_text(color = "black", size = 10, face = "bold"),
axis.text.x = element_text(size = 10, angle = 90),
axis.text.y = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10),
plot.caption = element_text(size = 10),
legend.title = element_text(size = 10),
legend.text = element_text(size = 8)) +
labs(x = "",
y = "",
title = "CLASS Responses",
subtitle = "Questions 1-14")
class_worse_plot
head(class_stress)
class_stress_tidy <- class_stress %>%
pivot_longer(
cols = c(`Pre-Test`, `Post-Test`),
names_to = "Assessment",
values_to = "Response"
)
class_2 <- c("Stressed out about your grades dropping",
"More stressed out/overwhelmed with the schoolwork piling up",
"Not having enough support at home from parents/siblings",
"Not having enough support from teachers",
"Not being allowed to play sports/recreation",
"Missing time with friends and/or social activities")
class_2_resp <- c("Very stressful",
"Moderately stressful",
"A little stressful",
"Not stressful")
class_stress_tidy$Assessment <- factor(class_stress_tidy$Assessment, levels = c("Pre-Test", "Post-Test"))
class_stress_plot <- ggplot(class_stress_tidy, aes(`Question`, `Response`)) +
geom_line(aes(group = `Question`), color = "gray40") +
geom_point(aes(color = `Assessment`)) +
coord_flip() +
scale_x_discrete(limits = class_2) +
scale_y_discrete(limits = class_2_resp) +
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.x = element_line(color = "gray80")) +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
plot.subtitle = element_text(color = "black", size = 10, face = "bold"),
axis.text.x = element_text(size = 8, angle = 90),
axis.text.y = element_text(size = 8),
axis.title=element_text(size=10),
strip.text = element_text(size = 10),
plot.caption = element_text(size = 10),
legend.title = element_text(size = 8),
legend.text = element_text(size = 8)) +
labs(x = "",
y = "",
title = "CLASS Responses",
subtitle = "Questions 15-20")
class_stress_plot
```
```{r class plot 1, include=TRUE}
class_worse_plot
```
### CLASS 2
```{r class plot 2, include=TRUE}
class_stress_plot
```
### PCSS
```{r pcss data, include=FALSE}
head(pcss)
pcss_table <- pcss %>%
reactable(
columns = list(
`Pre Test` = colDef(name = "Pre-Test"),
`Post Test` = colDef(name = "Post-Test")
))
```
```{r pcss table, include=TRUE}
pcss_table
```
### HIT
```{r hit data, include=FALSE}
head(hit)
hit_positions <- c("Pre-Test", "Post-Test")
hit_plot <- ggplot(hit, aes(measure, score)) +
geom_hline(yintercept = 50,
linetype = "dashed",
size = 1) +
geom_col(fill = "blue",
alpha = 0.7) +
scale_x_discrete(limits = hit_positions) +
scale_y_continuous(limits = c(0, 60),
breaks = c(10, 20, 30, 40, 50, 60)) +
geom_text(aes(measure, score, label = score),
nudge_y = -3,
color = "white") +
theme(panel.grid.major.y = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.x = element_line(color = "gray80")) +
theme(plot.title = element_text(color = "black", size = 12, face = "bold", hjust = 0.5),
axis.text = element_text(size = 10),
axis.title=element_text(size=10),
strip.text = element_text(size = 10),
plot.caption = element_text(size = 8)) +
labs(x = "",
y = "Score",
title = "HIT Results",
caption = "Scores of 50 or Greater Suggest Headaches Impact Daily Functioning")
hit_plot
```
```{r hit plot, include=TRUE}
hit_plot
```
